JOURNAL ARTICLE

Device-Free Handwritten Character Recognition Method Using Acoustic Signal

Atsushi OguraH. WatanabeMasanori Sugimoto

Year: 2021 Journal:   Journal of Robotics and Mechatronics Vol: 33 (5)Pages: 1082-1095   Publisher: Fuji Technology Press Ltd.

Abstract

In this paper, we propose a method for recognizing handwritten characters by a finger using acoustic signals. This method is carried out using a smartphone placed on a flat surface, such as a desk. Specifically, this method uses an ultrasonic wave transmitted from the smartphone, which is reflected by the finger, and an audible sound is generated when writing a handwritten character. The proposed method does not require an additional device for handwritten character recognition because it uses the microphone/speaker built into the device. Evaluation results showed that it was able to recognize 36 types of characters with an average accuracy of 77.8% in a low noise environment for 10 subjects. In addition, it was verified that combining an audible sound and an ultrasonic wave in this method achieved higher recognition accuracy than when only an audible sound or an ultrasonic wave was used.

Keywords:
Character (mathematics) Computer science Acoustics Speech recognition Microphone Ultrasonic sensor Desk Artificial intelligence Sound (geography) SIGNAL (programming language) Noise (video) Pattern recognition (psychology) Sound pressure Mathematics Telecommunications

Metrics

2
Cited By
0.14
FWCI (Field Weighted Citation Impact)
34
Refs
0.47
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Hand Gesture Recognition Systems
Physical Sciences →  Computer Science →  Human-Computer Interaction
Tactile and Sensory Interactions
Life Sciences →  Neuroscience →  Cognitive Neuroscience
Interactive and Immersive Displays
Physical Sciences →  Computer Science →  Human-Computer Interaction

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